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metadata
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
library_name: peft
license: llama3.1
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Llama-31-8B_task-1_120-samples_config-1
    results: []

Llama-31-8B_task-1_120-samples_config-1

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.9299

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss
1.8587 1.0 11 1.8962
1.5582 2.0 22 1.5353
1.3116 3.0 33 1.3440
1.1103 4.0 44 1.2486
0.9015 5.0 55 1.2432
0.6339 6.0 66 1.3448
0.2953 7.0 77 1.6649
0.2611 8.0 88 1.9195
0.107 9.0 99 2.4669
0.0592 10.0 110 2.5539
0.06 11.0 121 2.4769
0.0548 12.0 132 2.9299

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.0
  • Pytorch 2.1.2+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1